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Proceedings Paper

Parameter whitening method for neural network modeling for gray problem
Author(s): Luo Zhong; Jingling Yuan; Chengming Zou
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Paper Abstract

The modality and features of gray differential equations and the features of differential parameters have been researched. The gray attribute of the differential equation parameters also has been analyzed. Based on studying one dimensional gray problem modeling and neural network modeling, a method of whitening the parameters of gray differential equation using gray neural network- GNNM was put forward. Furthermore, we also studied two-dimensional gray problem and built GNNM.

Paper Details

Date Published: 11 March 2002
PDF: 5 pages
Proc. SPIE 4739, Applications and Science of Computational Intelligence V, (11 March 2002); doi: 10.1117/12.458712
Show Author Affiliations
Luo Zhong, Wuhan Univ. of Technology (China)
Jingling Yuan, Wuhan Univ. of Technology (China)
Chengming Zou, Wuhan Univ. of Technology (China)

Published in SPIE Proceedings Vol. 4739:
Applications and Science of Computational Intelligence V
Kevin L. Priddy; Paul E. Keller; Peter J. Angeline, Editor(s)

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